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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 7669
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    Explanations

    words related to specific names and identities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to key figures mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -1.15
    76561
    -0.73
    ounter
    -0.72
     Kerala
    -0.67
    ORGE
    -0.66
    xual
    -0.64
    UAL
    -0.64
     Gleaming
    -0.63
    ãĤ®
    -0.63
    ized
    -0.63
    POSITIVE LOGITS
     Huff
    1.01
    Po
    0.86
    aday
    0.84
    itto
    0.84
    shire
    0.82
    meyer
    0.82
    inge
    0.79
    ington
    0.79
    puff
    0.78
    beck
    0.77
    Activations Density 0.010%

    No Known Activations